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beauty-photo-generator美女照片生成器

Agent Skill

用于辅助图像生成、图片编辑、视觉素材处理或图像模型工作流。它适合让 Agent 根据文本生成图片、处理背景、整理视觉提示词或调用相关图像工具。使用时需要确认输入图片、版权来源、输出格式和模型限制;涉及人物、品牌、商品或公开展示素材时,应额外核对授权、真实性和内容合规边界。

总安装

1,280

周安装

55

GitHub Stars

公开资料未说明

下载量

449
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:beauty-photo-generator(美女照片生成器)
来源仓库:https://github.com/pddsa/beauty-photo-generator
安装命令:
openclaw skills install beauty-photo-generator
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install beauty-photo-generator

简介

用于辅助图像生成,特别适合成年女性肖像的视觉素材创建流程。

  • 支持两步中文选项流程,直接生成两个逼真图像供用户选择。
  • 通过 clawhub 安装,命令为 openclaw skills install beauty-photo-generator,需用户提供具体描述。
  • 安装前建议确认版权来源和内容合规性,避免涉及敏感或未授权素材。
  • 适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

SKILL.md

name
beauty-generator
description
Guide a user through a compact two-step Chinese option flow for adult female portraits, generate two matched realistic images directly, then optionally create a video-ready character reference sheet from the first image.

Beauty Generator

Overview

Use this skill when the user gives a short or fuzzy Chinese prompt for an adult female portrait and wants polished output without manually writing a long image prompt.

Keep the experience product-like:

  • First give a compact core-choice round
  • Then offer one optional detail round
  • Send one short Chinese confirmation
  • Generate two images directly
  • After generation, offer an optional follow-up for a video-ready character reference sheet

Read these files only when needed:

Workflow

1. Scope and safety

  • Only generate adult women.
  • Refuse requests with underage framing, school-age cues, or sexualized youth language.
  • If the user is vague but asks for a sexy result, rewrite it as tasteful high-end fashion portrait language.
  • Keep the result realistic, elegant, and non-explicit.

2. Run the core-choice round first

If the user already gave some traits, keep them and ask only for the missing high-impact choices.

The first round covers:

  • Preset template
  • Face shape
  • Eye shape
  • Hairstyle
  • Vibe
  • Background

Use the short copy from references/conversation_flows.md. Encourage replies with letters, numbers, or short Chinese phrases.

3. Offer one optional detail round

Offer a second round for refinement only once. If the user skips it, use the defaults in references/option_catalog.md.

The detail round covers:

  • Age feel
  • Body tendency
  • Makeup
  • Hair color
  • Expression
  • Lighting mood

4. Resolve conflicts consistently

When user inputs conflict, use this order:

  1. Explicit user text
  2. User's later option choices
  3. Preset defaults

Do not silently replace a clear user requirement with a preset.

5. Assemble the portrait prompt

Build one polished Chinese natural-language prompt. Do not show the full prompt unless the user explicitly asks for it.

The portrait prompt should usually include:

  • Adult identity and the chosen aesthetic direction
  • Face shape, eye shape, hairstyle, hair color, and makeup
  • Vibe, expression, age feel, and body tendency
  • Background and lighting mood
  • Realistic portrait-photography quality targets
  • Clean facial detail, natural skin texture, no text, no watermark

Unless the user asks otherwise, keep the baseline:

  • Default preset: 东方现代写实
  • Half-body close portrait
  • Clear sharp face
  • Natural skin texture
  • Clean high-end background
  • Realistic photography

6. Enforce the portrait usage cap

Right before generating the two portrait images, run:

python .\scripts\usage_gate.py portraits consume

If the returned JSON contains allowed: false, do not generate. Return the exact message from the script.

If the user asks about remaining portrait uses, run:

python .\scripts\usage_gate.py portraits status

7. Generate exactly two portrait images

Use one coherent character design for both images and change only the angle:

  1. 正面微偏左
  2. 侧脸回望

Keep identity, styling, lighting direction, and overall aesthetic aligned across both outputs.

Before generation, send one short Chinese confirmation using the style in references/conversation_flows.md.

8. Offer the video-prep follow-up

Immediately after the two portraits are generated, ask a short follow-up in Chinese:

如果你要继续做视频素材,我可以基于第1张“正面微偏左”继续生成角色设定参考表。回复“需要”即可。

If the user does not say 需要, stop there.

9. Generate the character reference sheet on demand

If the user replies 需要, treat it as a request for a video-ready character reference sheet based on the first portrait image, not as direct video generation.

Before generating the reference sheet, run:

python .\scripts\usage_gate.py reference-sheet consume

If the returned JSON contains allowed: false, do not generate. Return the exact message from the script.

If the user asks about remaining reference-sheet uses, run:

python .\scripts\usage_gate.py reference-sheet status

Then generate one image using the first portrait image as the identity reference plus the fixed art-direction rules in references/reference_sheet_prompt.md.

The generated sheet must:

  • Preserve the same face and identity as the first portrait
  • Use a white pure background
  • Present a professional high-end fashion character reference layout
  • Show four aligned full-body views and multiple detail callouts
  • Stay photorealistic and print-ready

Response style

  • Keep the interaction in Chinese unless the user asks otherwise.
  • Be concise, guided, and product-like.
  • Do not dump long prompts by default.
  • Confirm selections briefly, then generate directly.

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适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

76.52%
按下载量换算344

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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